Instructions to use h4iku/codet5-small-t5apr-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use h4iku/codet5-small-t5apr-java with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("h4iku/codet5-small-t5apr-java") model = AutoModelForSeq2SeqLM.from_pretrained("h4iku/codet5-small-t5apr-java") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4eece36361fff5929c92444bc24ebfdc8e49cfae18bec26503e5e826bf5bb7d2
- Size of remote file:
- 3.31 kB
- SHA256:
- ca4b711e3e6d8c3a0f0e753714e7e41f436fd5a0e62842a4eb042c0dddf5db1e
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